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SUBARNA N
KCT BS
31.1.2018
What is big data??
• Large amount of data
that can be mined to
gain information and
is complex to use
• Its all about 3Vs of
big data
Volume ,Variety and
velocity of data
3Vs
Types of Data
STRUCTURED DATA
• Computer or Machine generated
• Human generated
• Sensor data
• Web log data
• Point of Sale data
• Financial data
UN STRUCTURED
DATA
• Satellite data
• Videos and
images
• Scientific data
• Radar or Sonar
data
Big data –size and
challenge of
interpreting is not
everything, it
includes handling
large volume of
desperate data
Big Data Big challenge!!
• Data doesn’t create meaning ,we try to
make meaning out of it.
• Making human centric decision is a big
challenge in Big Data
• While making decision out of data we
have consider
humanities,sociology,ethics, psychology
etc.
“Gartner Survey for 2015 shows
that more than 75% of
companies are investing or are
planning to invest in big data in
the next two years”
Big Data in Industries
• Banking and
securities
• Communication,
Media,
Entertainment
• Health provides
• Education
• Manufacturing and
Natural resources
• Government
• Retail and
Wholesale trade
• Insurance
• Transportations etc..
BREIF VIEW
Big data is handling large volume of desperate
data(Structured and unstructured data) and
mining actionable insights from that. Data
doesn’t create meaning , its we creating meaning
from the data . One should ensure that the
decision made through the data must be human
centric. Critical thinking is important in handling
Big Data. Big data has vast application in
various industries
Thank you

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Big data

  • 2. What is big data?? • Large amount of data that can be mined to gain information and is complex to use • Its all about 3Vs of big data Volume ,Variety and velocity of data
  • 3. 3Vs
  • 4. Types of Data STRUCTURED DATA • Computer or Machine generated • Human generated • Sensor data • Web log data • Point of Sale data • Financial data
  • 5. UN STRUCTURED DATA • Satellite data • Videos and images • Scientific data • Radar or Sonar data
  • 6.
  • 7.
  • 8. Big data –size and challenge of interpreting is not everything, it includes handling large volume of desperate data
  • 9.
  • 10. Big Data Big challenge!! • Data doesn’t create meaning ,we try to make meaning out of it. • Making human centric decision is a big challenge in Big Data • While making decision out of data we have consider humanities,sociology,ethics, psychology etc.
  • 11. “Gartner Survey for 2015 shows that more than 75% of companies are investing or are planning to invest in big data in the next two years”
  • 12. Big Data in Industries • Banking and securities • Communication, Media, Entertainment • Health provides • Education
  • 13. • Manufacturing and Natural resources • Government • Retail and Wholesale trade • Insurance • Transportations etc..
  • 14. BREIF VIEW Big data is handling large volume of desperate data(Structured and unstructured data) and mining actionable insights from that. Data doesn’t create meaning , its we creating meaning from the data . One should ensure that the decision made through the data must be human centric. Critical thinking is important in handling Big Data. Big data has vast application in various industries